Measures of efficiency in the takaful industry of bangladesh a non-parametric approach

EJBM-Special Issue: Islamic Management and Business
ISSN 2222-1719 (Paper) ISSN 2222
Vol.5 No.11 2013
Co-published with Center for Research on Islamic Management and Business (CRIMB)
Measures of Efficiency in the Takaful Industry of Bangladesh
Non
Dr Jesmin Islam
1
Faculty of Business & Government, University of Canberra, Australia,
2
Department of Business Administration, International Islamic University Chittagong,Ba
Abstract
This study aim is to examine the efficiency in the Takaful industry of Bangladesh. Data Envelopment Analysis (DEA)
is used to explore the contributions of technical and efficiency changes to the growth of productivity in the Takaful
industries of Bangladesh by using descriptive statistics such as mean, median, standard deviation, minimum &
maximum and efficiency (Constant Returns to Scale & V
oriented Malmquist index for the years 2009
companies in Bangladesh. This study utilizes two inputs and two outputs, namely, commi
well as premium and net investment income, respectively. In the DEA technique, efficiency is measured by the
Malmquist index. The Malmquist efficiency measures have two components: the efficiency change and technical
change index. Efficiency change is again combined by pure efficiency and scale efficiency. It is found that, on
geometric mean, the TFP of the Takaful industry is mainly due to both efficiency and technical changes where the
main source of the efficiency change is scale
Takaful industry of Bangladesh, the smaller the size of the companies, the higher the probability for the companies to
be more efficient in utilizing their inputs to generate more ou
and practitioners to better understand the Bangladeshi Islamic insurance industry.
Keywords: Data Envelopment Analysis (DEA); Takaful; Malmquist Index; Efficiency; Technical Efficiency; Scale
Eficiency; Pure Efficiency.
1. INTRODUCTION
The primary function of insurance is to act as a risk transfer mechanism to provide peace of mind and protect against
losses (Sabbir, 2002). Insurance schemes utilize the combination method by persuading a large number of
individuals to pool their risks into a large group to minimize overall risk (Ali, 2000). In the developed world,
insurance is part of society such that some forms of cover are required by law. In developing countries, the need for
such a safety net is much greater, particularly at the poorest levels where vulnerability to risks is much greater and
there are fewer opportunities available to recover from a large loss. Therefore, in the developing countries which are
characterized as having low-income levels,
sanitation, and employment opportunities, the need for insurance as a risk transfer mechanism is even more
imperative.
The efficiency of financial institutions has been widely and e
institutions, efficiency implies improved profitability, greater amount of funds investment, better prices and services
quality for consumers and greater safety in terms of improved capital buffer i
Furthermore, the Bangladeshi financial system has undergone major structural changes in the era of globalization
with various liberalization measures being introduced during the last few decades. These factors are exp
an impact on the efficiency of the life insurance companies and the
on to extend the established non-
companies/operators in Bangladesh for the period 2009
the evaluation of the institutions’ performance may be used to improve the overall efficiency of their operations and
in turn, may contribute towards achie
In this context, the objective of this study is to analyze the sources of efficiency and technical changes of all the
Takaful companies in Bangladesh. By using the descriptive statistics and non
Envelopment Analysis (DEA) together with Malmquist Index, we isolate the contributions of technical change,
efficiency change, the pure and scale changes to total factor productivity growth of different
amic Management and Business
1719 (Paper) ISSN 2222-2863 (Online)
163
Center for Research on Islamic Management and Business (CRIMB)
http://www.crimbbd.org
Measures of Efficiency in the Takaful Industry of Bangladesh
Non-Parametric Approach
Dr Jesmin Islam1
, Md. Azizur Rahman2
, Md. Zahid Hossain Bhuiyan
Faculty of Business & Government, University of Canberra, Australia, Jesmin.Islam@canberra.edu.au
Department of Business Administration, International Islamic University Chittagong,Bangladesh.
ontributions of technical and efficiency changes to the growth of productivity in the Takaful
Constant Returns to Scale & Variable Returns to Scale) applying the generalized output
oriented Malmquist index for the years 2009-2011. The output-input data consists of a panel of all (06) Takaful
companies in Bangladesh. This study utilizes two inputs and two outputs, namely, commi
fficiency change is again combined by pure efficiency and scale efficiency. It is found that, on
main source of the efficiency change is scale efficiency rather than pure efficiency. Our finding indicates that in the
be more efficient in utilizing their inputs to generate more outputs. We believe our work is beneficial for researchers
and practitioners to better understand the Bangladeshi Islamic insurance industry.
Data Envelopment Analysis (DEA); Takaful; Malmquist Index; Efficiency; Technical Efficiency; Scale
cy; Pure Efficiency.
h greater, particularly at the poorest levels where vulnerability to risks is much greater and
income levels, and lacking access to social security systems, healthcare, and education,
The efficiency of financial institutions has been widely and extensively studied in the last few decades. For financial
quality for consumers and greater safety in terms of improved capital buffer in absorbing risk (Berger
with various liberalization measures being introduced during the last few decades. These factors are exp
an impact on the efficiency of the life insurance companies and the Takaful operators. This study, therefore, focuses
-conventional insurance sector by investigating the efficiency of the Takaful
ators in Bangladesh for the period 2009-2011. For the Takaful operators, the information obtained on
in turn, may contribute towards achieving its competitive edge.
Takaful companies in Bangladesh. By using the descriptive statistics and non-parametric approach of Data
opment Analysis (DEA) together with Malmquist Index, we isolate the contributions of technical change,
efficiency change, the pure and scale changes to total factor productivity growth of different
www.iiste.org
2863 (Online)
Measures of Efficiency in the Takaful Industry of Bangladesh-A
Md. Zahid Hossain Bhuiyan2
Jesmin.Islam@canberra.edu.au
ngladesh.
ontributions of technical and efficiency changes to the growth of productivity in the Takaful
) applying the generalized output-
input data consists of a panel of all (06) Takaful
companies in Bangladesh. This study utilizes two inputs and two outputs, namely, commission and management as
fficiency change is again combined by pure efficiency and scale efficiency. It is found that, on
Our finding indicates that in the
tputs. We believe our work is beneficial for researchers
Data Envelopment Analysis (DEA); Takaful; Malmquist Index; Efficiency; Technical Efficiency; Scale
h greater, particularly at the poorest levels where vulnerability to risks is much greater and
and lacking access to social security systems, healthcare, and education,
xtensively studied in the last few decades. For financial
n absorbing risk (Berger et al.,1993).
with various liberalization measures being introduced during the last few decades. These factors are expected to have
operators. This study, therefore, focuses
conventional insurance sector by investigating the efficiency of the Takaful
operators, the information obtained on
parametric approach of Data
opment Analysis (DEA) together with Malmquist Index, we isolate the contributions of technical change,
efficiency change, the pure and scale changes to total factor productivity growth of different Takaful operators in

Vol.5 No.11 2013
Bangladesh. Encouraged by the increas
Bangladesh continues to enhance its competitiveness.
In recent years, Islamic finance has become one of the most rapidly growing segments of the global financial system.
The introduction of an Islamic model of insurance has boosted the Islamic world economy, according to many
reports. Insurance has become the biggest industry in Bangladesh economy. The world’s first Takaful insurance
company was established in Sudan in 1979, and since the
world. In Bangladesh, Takaful operators have been started their business from the year 2000. However, in
Bangladesh, the insurance companies of private sectors are growing in the last few years. During o
the growth rate of insurance industry is 27.75%, 16.56% and 19.27% in the years 2009, 2010 and 2011 respectively.
On the other hand, in terms of premium, the growth rate of Takaful industries is only 0.45%, and 5.5% in the year
2011, and 2010 respectively. The researchers want to investigate why the growth rate of Takaful is lower than
conventional insurance growth rate, though the 89% to 90% of the people of Bangladesh are Muslim. This is the
main research question or motivation to measure
been done yet to measure the efficiency of the Takaful industries of Bangladesh.
This study utilizes two inputs, namely, commission and management expenses and two outputs, i.e. premium
investment income. The paper is organized as follows. Section 2 presents the literature review and in Section 3, we
discuss the methodology of DEA and Malmquist Index. Section 4 presents the results and analysis and finally,
Section 5 concludes.
2. LITERATURE REVIEW:
Efficiency comparisons at the international level have received significant attention in the insurance literature. In this
study, we have detailed overview of 19 international studies, including their sample periods, lines of business
covered, method used, types of efficiency analyzed, inputs and outputs used and summery of findings. However, all
the 19 studies are analyzed by using Data Envelopment Analysis (Both VRS & CRS), Malmquist Index (both
Technical and Efficiency), and Stochastic
countries. The researchers studied to cover different countries from different continents. Growth in productivity is
observed for most of the countries, which is attributed to improvements
A study by Weiss (1991) applied Stochastic Frontier Approach (SFA) to compute the efficiency of 100 US property
& liability insurance companies over the period 1980 to 1984. The estimated results indicated cost inefficiency of
around 12 to 33 percent amongst the US insurers. Cummins et al (1996) investigated the general level of technical
efficiency over time in the 94 life and non
technique to compute the efficiency scores and found that the efficiency amongst the insurers remain around 70% to
78% over the study period. Fukuyama (1997) investigated productive efficiency and productivity changes of
Japanese life insurance companies by focusing primarily on the o
economic conditions (expansion and recession) where he found that productive efficiency and productivity
performances differ from time to time across the two ownership types under different economic conditions.
Fukuyama (1997) found that stock and mutual life insurers in Japan have approximately equal technical efficiency
scores. For the sample period 1989
life insurance industry to be about 0.91 and total factor productivity gains of about 19 percent. Cummins and Zi
(1998) conducted their study by using DEA to measure the efficiency of US insurance companies over the periods
1988 to 1995. They examine effects of merger in firms’ efficiency
efficiency gains than firms that have not been involved in mergers or acquisitions. They also found mergers and
acquisitions in the life insurance industries have had a beneficial effect on efficiency. The gen
in both developed and developing countries has been examined by many researchers but the results are mixed in both
types of insurance markets. Moreover, Cummins and Weiss (1999) applied DEA to compute the efficiency of 750
life insurers of U.S. for the period 1988 to 1995 and found lower efficiency scores amongst the insurance firms as
compared to other financial institutions. Kessner and Polborn (1999) applied Data Envelopment Analysis (DEA) to
measure the efficiency of 110 life in
number of insurers in the insurance market of Germany were inefficient. Another study by Mansoor and Radam
(2000) examined the general level of technical efficiency and productivity f
approach over the period 1987-1997. Although the study reported an increase in the productivity of the insurers, yet
the increase in productivity was less compared to the growth rate of the economy. In addition, Diac
164
Bangladesh. Encouraged by the increase in the public awareness in Islamic finance, the
Bangladesh continues to enhance its competitiveness.
of an Islamic model of insurance has boosted the Islamic world economy, according to many
company was established in Sudan in 1979, and since then Takaful insurance companies have spread around the
Bangladesh, the insurance companies of private sectors are growing in the last few years. During o
010 respectively. The researchers want to investigate why the growth rate of Takaful is lower than
main research question or motivation to measure the efficiency of the Takaful operation in Bangladesh. No study has
been done yet to measure the efficiency of the Takaful industries of Bangladesh.
This study utilizes two inputs, namely, commission and management expenses and two outputs, i.e. premium
ITERATURE REVIEW:
ered, method used, types of efficiency analyzed, inputs and outputs used and summery of findings. However, all
and Stochastic Frontier Model such as Cobb-Douglas frontier model for 19 different
observed for most of the countries, which is attributed to improvements in technical progress.
d 12 to 33 percent amongst the US insurers. Cummins et al (1996) investigated the general level of technical
efficiency over time in the 94 life and non-life insurers of Italy over the period 1985-1993. This study used the DEA
ciency scores and found that the efficiency amongst the insurers remain around 70% to
Japanese life insurance companies by focusing primarily on the ownership structures (mutual and stock) and
kuyama (1997) found that stock and mutual life insurers in Japan have approximately equal technical efficiency
-1992, Fukuyama (1997) found the average technical efficiency in the Japanese
ut 0.91 and total factor productivity gains of about 19 percent. Cummins and Zi
1988 to 1995. They examine effects of merger in firms’ efficiency and found that acquired firms achieve greater
acquisitions in the life insurance industries have had a beneficial effect on efficiency. The gen
urers of U.S. for the period 1988 to 1995 and found lower efficiency scores amongst the insurance firms as
measure the efficiency of 110 life insurers of Germany over the period 1990 to 1993 and found that the higher
(2000) examined the general level of technical efficiency and productivity for 12 Malaysian life insurers using DEA
1997. Although the study reported an increase in the productivity of the insurers, yet
the increase in productivity was less compared to the growth rate of the economy. In addition, Diac
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2863 (Online)
e in the public awareness in Islamic finance, the Takaful industry in
of an Islamic model of insurance has boosted the Islamic world economy, according to many
n Takaful insurance companies have spread around the
Bangladesh, the insurance companies of private sectors are growing in the last few years. During our study period,
010 respectively. The researchers want to investigate why the growth rate of Takaful is lower than
the efficiency of the Takaful operation in Bangladesh. No study has
This study utilizes two inputs, namely, commission and management expenses and two outputs, i.e. premium and net
ered, method used, types of efficiency analyzed, inputs and outputs used and summery of findings. However, all
Douglas frontier model for 19 different
in technical progress.
d 12 to 33 percent amongst the US insurers. Cummins et al (1996) investigated the general level of technical
1993. This study used the DEA
ciency scores and found that the efficiency amongst the insurers remain around 70% to
wnership structures (mutual and stock) and
kuyama (1997) found that stock and mutual life insurers in Japan have approximately equal technical efficiency
1992, Fukuyama (1997) found the average technical efficiency in the Japanese
ut 0.91 and total factor productivity gains of about 19 percent. Cummins and Zi
and found that acquired firms achieve greater
acquisitions in the life insurance industries have had a beneficial effect on efficiency. The general level of efficiency
urers of U.S. for the period 1988 to 1995 and found lower efficiency scores amongst the insurance firms as
surers of Germany over the period 1990 to 1993 and found that the higher
or 12 Malaysian life insurers using DEA
1997. Although the study reported an increase in the productivity of the insurers, yet
the increase in productivity was less compared to the growth rate of the economy. In addition, Diacon Stephen (2001)

Vol.5 No.11 2013
conducted his study to evaluate the general efficiency using Farrel Efficiency Scores for 431 of general insurance
companies of UK over the period of 1998 and 1999 and found that UK companies inefficiency improvements in
comparison with their European counterparts.
Another study by Noulas et al. (2001) investigated the efficiency of 16 non life insurance companies by using DEA
CCR model in Greek over the periods of 1991 to 1996 and found that Industry highly inefficient, with notable
differences between different companies. In addition, another study showed that insurance companies were under
pressure to upgrade their efficiency relative to their competitors in Austria (Mahlberg and Url, 2003). Barros et al
(2005) found positive relation to the efficiency scores captured by the trends of 14 life insurance of Portugal over the
period 1995 to 2003. For instance, Tone and Sahoo (2005) investigated the general level of efficiency over time in
the Indian life insurers using DEA over the period 1
inefficiencies amongst the life insurers of India increased after 1994 whereas the cost efficiency also increased after
2000. Barros, Barroso and Borges (2005) conducted their study to examine th
using DEA Malmquist index in Portugal over the period of 1995 to 2003 and found that public policy to encourage
the adoption of disincentives to principal
efficiency
Overall, regarding the empirical studies discussed above, the differences in sample periods might be important in
explaining inconsistent results. Moreover, comparability of the studies is limited by differences in the subject of
investigation and the methodology employed. Thus, the major contribution of this paper is to extend existing
literature as to the number of countries analyzed, and also with regard to the methodologies used, with the aim of
shedding a brighter light on efficiency in international insurance markets.DEA is a model that combines all the
inputs and outputs information on the firm into a single measure of productive efficiency that lies between zero (i.e. a
completely inefficient firm) and unity (i.e. a complete
the frontier by finding a set of linear estimates that bound (envelop) the observed data (Leong et al., 2003). Thus, this
technique is a benchmarking technique in the sense that the “best pract
inefficient firms (Neal, 2004). Previous studies on the insurance industry’s efficiency using DEA provided evidence
to understand the performance of the insurance sector in certain countries, e.g. those stud
in national markets such as the case in the United States done by Berger et al. (1997), Cummins et al. (1999), Meador
et al. (2000), Cummins and Weiss (2002) and Cummins et al. (2010), and the insurance industries in other count
like in Japan, Italy, United Kingdom, Australia, Spain, and Germany have been studied by Fukuyama (1997),
Cummins et al. (1996), Diacon (2001), Worthington and Hurley (2002), Cummins and Rubio
Mahlberg and Url (2010), respectively. B
industry in multi-markets such as Rees and Kessner (2000) and Diacon et al. (2002) where they have conducted
studies by internationally comparing the efficiency of insurance compani
In addition, considering the Malaysia like Bangladesh twofold local financial system environment where the Takaful
operators are operating in parallel with their conventional counterparts, another recent study was undertaken by Saad
et al. (2007) to analyze the sources of efficiency and technical changes of all the life insurance companies and
compare the performance results with that of the Takaful operators in Malaysia. Using a sample of 13 Malaysian
insurance companies over a period of 200
Malmquist Index to isolate the contributions of technical change, efficiency change, the pure and scale changes to the
total factor productivity growth of different life insurance comp
findings, the authors found that on average, the total factor productivity growth of the insurance industry in Malaysia
is mainly due to technical change while efficiency change contributed a negative ch
below average in total factor productivity but slightly above average for technical change as well as an equal to
industry average in scale efficiency. However, this result is still inconclusive on the Takaful industry as a w
Thus, the overall productivity growth of the insurance industry in Malaysia over the sample period was more or less
contributed by both technical efficiency and technical progress. Wu et al., 2007 found that Canadian life and health
insurance companies operated very efficiently. Another study on Nigeria that most of the companies there were VRS
efficient (Barros/Obijiaku, 2007). Abidin & Cabanda (2009) has applied DEA in order to find out the general
efficiency of 23 non-life insurance companies in In
insurance companies were more efficient than smaller firms.
Envelopment Analysis (DEA) to estimate the efficiency of 38 life and non life in
the period 2003 to 2007 and found that the insurance companies were on average 92.7 percent technical efficient,
165
heir European counterparts.
Another study by Noulas et al. (2001) investigated the efficiency of 16 non life insurance companies by using DEA
erences between different companies. In addition, another study showed that insurance companies were under
o the efficiency scores captured by the trends of 14 life insurance of Portugal over the
the Indian life insurers using DEA over the period 1982-2001. The estimated results indicated that the allocated
2000. Barros, Barroso and Borges (2005) conducted their study to examine the efficiency of 27 insurance companies
the adoption of disincentives to principal-agent relationships and the collective-action problem would yi
iciency in international insurance markets.DEA is a model that combines all the
completely inefficient firm) and unity (i.e. a completely efficient firm). In addition, the DEA effectively estimates
technique is a benchmarking technique in the sense that the “best practice” firms lie on the frontier and envelop other
to understand the performance of the insurance sector in certain countries, e.g. those studies which analyze insurance
et al. (2000), Cummins and Weiss (2002) and Cummins et al. (2010), and the insurance industries in other count
Cummins et al. (1996), Diacon (2001), Worthington and Hurley (2002), Cummins and Rubio
Mahlberg and Url (2010), respectively. Besides that, there are also studies that conduct analyses of the insurance
markets such as Rees and Kessner (2000) and Diacon et al. (2002) where they have conducted
studies by internationally comparing the efficiency of insurance companies in Europe.
2007) to analyze the sources of efficiency and technical changes of all the life insurance companies and
insurance companies over a period of 2002 to 2005, they used a non-parametric approach of DEA together with the
total factor productivity growth of different life insurance companies and the Takaful operators. On the basis of the
is mainly due to technical change while efficiency change contributed a negative change. While Takaful presents a
industry average in scale efficiency. However, this result is still inconclusive on the Takaful industry as a w
es operated very efficiently. Another study on Nigeria that most of the companies there were VRS
Abidin & Cabanda (2009) has applied DEA in order to find out the general
life insurance companies in Indonesia over the period of 2005 to 2007 and found that
insurance companies were more efficient than smaller firms. Afza & Ali Asghar (2010), applied non
Envelopment Analysis (DEA) to estimate the efficiency of 38 life and non life insurance companies in Pakistan over
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2863 (Online)
Another study by Noulas et al. (2001) investigated the efficiency of 16 non life insurance companies by using DEA-
erences between different companies. In addition, another study showed that insurance companies were under
o the efficiency scores captured by the trends of 14 life insurance of Portugal over the
2001. The estimated results indicated that the allocated
e efficiency of 27 insurance companies
action problem would yield increased
iciency in international insurance markets.DEA is a model that combines all the
ly efficient firm). In addition, the DEA effectively estimates
ice” firms lie on the frontier and envelop other
ies which analyze insurance
et al. (2000), Cummins and Weiss (2002) and Cummins et al. (2010), and the insurance industries in other countries
Cummins et al. (1996), Diacon (2001), Worthington and Hurley (2002), Cummins and Rubio-Misas (2001), and
esides that, there are also studies that conduct analyses of the insurance
markets such as Rees and Kessner (2000) and Diacon et al. (2002) where they have conducted
2007) to analyze the sources of efficiency and technical changes of all the life insurance companies and
parametric approach of DEA together with the
anies and the Takaful operators. On the basis of the
ange. While Takaful presents a
industry average in scale efficiency. However, this result is still inconclusive on the Takaful industry as a whole.
es operated very efficiently. Another study on Nigeria that most of the companies there were VRS
Abidin & Cabanda (2009) has applied DEA in order to find out the general
donesia over the period of 2005 to 2007 and found that bigger
applied non-parametric Data
surance companies in Pakistan over

Vol.5 No.11 2013
81.12 percent allocated efficient and 75.44 percent cost efficient. Moreover, the study had also found that
and cost efficiencies are improved from 2003 to 2005 but significantly decreased in 2006 whereas; technical
efficiency is increased over the study period.
efficiency of all public and private insurance companies in Iran by using DEA over the period of 2005
1387 in Persian calendars) and found that
insurance companies. Saad(2012) conducted his study to examine
and insurance industry by using DEA in Malaysia during the period 2007 to 2009 and found that the efficiency of the
Takaful companies below the level of their conventional counterparts.
Against this background, the motivation of our paper is to investigate the efficiency of the both life and non
Takaful and insurance industry in Bangladesh using the nonparametric approach. We also hope to shed some light on
the performance of the Takaful operators.
3. DATA SOURCES AND METHODOLOGY
In order to measure the efficiency of the Takaful industry of Bangladesh. There are 02 public insurance company, 43
privately owned general companies and 17 life insurers in Bangladesh. There are 09 Takaful operators are operated
in Bangladesh, out of which the data of three foreign companies namely First Takaful Insurance Company, Noor
Takaful insurance company limited and National Takaful Insurance Company operators were not accessible. The
data of remaining 06 companies was ava
The inputs are commission and management expenses and the outputs are premium and net investment income.
These inputs and outputs are used to examine the efficiency of all (06) Is
namely Fareast Islami Life Insurance Company (FILIC), Islami Commercial Insurance Company (ICIC), Islami
Insurance Bangladesh Limited (IIBL), Padma Islami Life insurance Limited (PDILIL), Prime Islami Life Insurance
Limited (PILIL) and Takaful Islami Insurance Limited.(TIIL)
2009 to 2011. The data are gathered from the respective
(for ICIC because of unavailable audited annual report
To examine the contributions of technical and efficiency change to the growth of productivity in the Takaful
industries the generalized output-oriented Malmquist index, developed by Fare et al. (1989) is adopted in this study.
The Malmquist indexes are constructed using the Data Envelopment Approach (DEA) and estimated using Coelli’s
(1996) DEAP version 2.1. Malmquist index was chosen as there are a number of desirable features for this particular
study. The DEA does not only requi
particularly useful in situations in which prices are not available publicly or non
a behavioral assumption such as cost minimization or pr
objectives differ, unknown or unachieved. This is first demonstrated by Fare et al. (1989) using the geometric mean
formulation of the Malmquist index. Following this, Forsund (1991) derived the decomposit
of the Malmquist productivity index into technical change and efficiency change. Following Fare et al. (1989), the
Malmquist index of total factor productivity growth is written as follows:
, , ,
Where, , , denoted the distance from the period
part of the right hand side of equation (1) measures the change in firm’s relative efficiency (i.e., distance between the
observed productions from maximum potential production) between year
of this equation within the brackets (geometric mean of the two ratios) shows the firms’ relative change in
technology (i.e., movements of the frontier function itself) betw
the change in relative efficiency measures how well the production process converts inputs into outputs (catching up
to the frontier) and the later reflects enhancement in technology. According to Fa
productivity yield Malmquist index values greater than unity. Deterioration in performance over time is associated
with a Malmquist index less than unity. The same interpretation applies to the values taken by the compone
overall TFP index. The positive change in the efficiency component yielded index values greater than one and is
considered to be evidence of catching up (to the frontier). Values of the technical change component greater than one
are considered to be evidence of technological progress.
166
81.12 percent allocated efficient and 75.44 percent cost efficient. Moreover, the study had also found that
efficiency is increased over the study period. Saeidy & Kazentipour (2011) conducted their study to examine the
nd private insurance companies in Iran by using DEA over the period of 2005
1387 in Persian calendars) and found that the performance of State owned insurance was better than private
insurance companies. Saad(2012) conducted his study to examines the efficiency of 28 general or non
Takaful companies below the level of their conventional counterparts.
ound, the motivation of our paper is to investigate the efficiency of the both life and non
the performance of the Takaful operators.
A SOURCES AND METHODOLOGY
data of remaining 06 companies was available for efficiency analysis. We use two inputs and outputs in this study.
These inputs and outputs are used to examine the efficiency of all (06) Islamic insurance firms in Bangladesh,
Fareast Islami Life Insurance Company (FILIC), Islami Commercial Insurance Company (ICIC), Islami
ited (PILIL) and Takaful Islami Insurance Limited.(TIIL) Inputs and outputs data are collected from period of
2009 to 2011. The data are gathered from the respective Takaful annual reports, websites and chief finance officer
e audited annual report).
oriented Malmquist index, developed by Fare et al. (1989) is adopted in this study.
Malmquist indexes are constructed using the Data Envelopment Approach (DEA) and estimated using Coelli’s
study. The DEA does not only require input prices or output prices in their construction, which make the method
particularly useful in situations in which prices are not available publicly or non-existent, but it also does not require
a behavioral assumption such as cost minimization or profit maximization in the case where the producers‟
formulation of the Malmquist index. Following this, Forsund (1991) derived the decomposit
Malmquist index of total factor productivity growth is written as follows:
,
,
,
,
,
,
, denoted the distance from the period t+1 observation to the period
imum potential production) between year t and t+1. On the other hand, second parts
technology (i.e., movements of the frontier function itself) between the two periods evaluated at
to the frontier) and the later reflects enhancement in technology. According to Fare et al. (1994a), improvements in
with a Malmquist index less than unity. The same interpretation applies to the values taken by the compone
to be evidence of technological progress.
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2863 (Online)
81.12 percent allocated efficient and 75.44 percent cost efficient. Moreover, the study had also found that allocated
Saeidy & Kazentipour (2011) conducted their study to examine the
nd private insurance companies in Iran by using DEA over the period of 2005-2009 (1383-
the performance of State owned insurance was better than private
s the efficiency of 28 general or non-life Takaful
ound, the motivation of our paper is to investigate the efficiency of the both life and non-life
ilable for efficiency analysis. We use two inputs and outputs in this study.
lamic insurance firms in Bangladesh,
Fareast Islami Life Insurance Company (FILIC), Islami Commercial Insurance Company (ICIC), Islami
Inputs and outputs data are collected from period of
annual reports, websites and chief finance officer
oriented Malmquist index, developed by Fare et al. (1989) is adopted in this study.
Malmquist indexes are constructed using the Data Envelopment Approach (DEA) and estimated using Coelli’s
re input prices or output prices in their construction, which make the method
existent, but it also does not require
ofit maximization in the case where the producers‟
formulation of the Malmquist index. Following this, Forsund (1991) derived the decomposition of the simple version
1
observation to the period t technology. The first
. On the other hand, second parts
een the two periods evaluated at xt
and xt+1
. Basically,
re et al. (1994a), improvements in
with a Malmquist index less than unity. The same interpretation applies to the values taken by the components of the

Vol.5 No.11 2013
Following Fare et al. (1994), this study uses an enhanced decomposition of the Malmquist index by decomposing the
efficiency change component calculated relative to the constant returns to scale technology into a p
component (calculated relative to the VRS technology) and a scale efficiency change component which captures
changes in the deviation between the VRS and CRS technology. The subset of pure efficiency change measures the
relative ability of operators to converts inputs into outputs while scale efficiency measures to what extent the
operators can take advantage of returns to scale by altering its size toward optimal scale.
4. FINDINGS AND ITS ANALYSIS:
4.1 Measures of some Descriptive Statistic
We want to analyze some descriptive statistics such as mean, median, Standard Deviation, minimum and maximum
before run data envelopment analysis. Table
Takaful companies during the period of study. In case of total inputs and outputs during the period of analysis,
and ICIC have occupied the highest and lowest rank respectively. The average premium and net investment income
are Tk. 1689.66 and Tk. 267.34 million BDT
expenses are Tk. 484.42 and Tk.261.23
Table 1: Descriptive Statistics, 2009
Statistics Inputs (In million BDT)
Commission
Mean 484.42
Median 189.87
Standard Deviation 687.58
Minimum 28.74
Maximum 2213.71
4.2. Production Frontier and Efficiency
The primary purpose of this section is to outline a number of commonly used efficiency measures and to discuss how
they calculated relative to an efficient technol
Tables 2 and 3, reports efficiency change for the Takaful companies from 2009
(CRS) and variable returns to scale (VRS) respectively, since the ba
index is related to measures of efficiency. For the values of unity, the firm is implied to be on the industry frontier in
the related year, while the values that are less than unity imply that the firm is below
inefficient. Thus, the lower the values from unity, the firm is said to be more inefficient compared to the values
closer to one. For the years reported in tables 2 and 3, all the Takaful companies are consistently efficient, bo
constant returns to scale (CRS) and variable returns to scale (VRS) except
consistently efficient under VRS but not under CRS. Moreover, the
and VRS versions respectively.
Table 2: Efficiency of the Takaful Companies, 2009
SL. No. Name of the Takaful Company
1 Fareast Islami Life Insurance Company
2 Islami Commercial Insurance Company
3 Islami Insurance Bangladesh Limited
4 Padma Islami Life insurance Limited
5 Prime Islami Life Insurance Limited
6 Takaful Islami Insurance Limited
Mean
The values in Tables 2 and 3 show the percentage of the realized output level compared to the maximum potential
output level at the given input mix. As per example, in 2009,
and PDILIL produced 74.6 percent of its potential output under CRS. Under VRS in the same year, the
produced the potential output as same as 74.6 percent whereas,
which was at 100 percent. In 2010 ICIC
167
efficiency change component calculated relative to the constant returns to scale technology into a p
perators to converts inputs into outputs while scale efficiency measures to what extent the
operators can take advantage of returns to scale by altering its size toward optimal scale.
4. FINDINGS AND ITS ANALYSIS:
4.1 Measures of some Descriptive Statistics
before run data envelopment analysis. Table-1 reveals the descriptive statistics of the outputs and inputs of all the
he period of study. In case of total inputs and outputs during the period of analysis,
occupied the highest and lowest rank respectively. The average premium and net investment income
million BDT, respectively. Meanwhile, the average commission and management
261.23 millions BDT, respectively during study period 2009
Descriptive Statistics, 2009-2011
Inputs (In million BDT) Outputs (In million BDT)
Commission Management
Expenses
Premium
484.42 261.23 1689.66
189.87 160.76 670.41
687.58 256.62 2372.83
28.74 33.29 13.96
2213.71 849.04 6908.76
Source: Annual Reports of respective Takaful Companies
4.2. Production Frontier and Efficiency
they calculated relative to an efficient technology, which is generally represented by some form of frontier function.
Tables 2 and 3, reports efficiency change for the Takaful companies from 2009-2011 under constant returns to scale
(CRS) and variable returns to scale (VRS) respectively, since the basic component of the Malmquist productivity
the related year, while the values that are less than unity imply that the firm is below
closer to one. For the years reported in tables 2 and 3, all the Takaful companies are consistently efficient, bo
constant returns to scale (CRS) and variable returns to scale (VRS) except ICIC and PDILIL
consistently efficient under VRS but not under CRS. Moreover, the PDILIL is the least efficient firm for both CRS
Efficiency of the Takaful Companies, 2009-2011 (Constant Returns to Scale)
Name of the Takaful Company 2009 2010
Fareast Islami Life Insurance Company 1.000 1.000
Islami Commercial Insurance Company 0.519 0.542
Islami Insurance Bangladesh Limited 1.000 1.000
Padma Islami Life insurance Limited 0.746 0.756
Prime Islami Life Insurance Limited 1.000 1.000
Takaful Islami Insurance Limited 1.000 1.000
0.877 0.883
output level at the given input mix. As per example, in 2009, ICIC produced 51.9 percent of its potential output level
percent of its potential output under CRS. Under VRS in the same year, the
produced the potential output as same as 74.6 percent whereas, ICIC produced at their maximum potential output
ICIC produced 54.2 percent of its potential output level and also decrease in 2011
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2863 (Online)
efficiency change component calculated relative to the constant returns to scale technology into a pure efficiency
perators to converts inputs into outputs while scale efficiency measures to what extent the
1 reveals the descriptive statistics of the outputs and inputs of all the
he period of study. In case of total inputs and outputs during the period of analysis, FILIC
occupied the highest and lowest rank respectively. The average premium and net investment income
vely. Meanwhile, the average commission and management
millions BDT, respectively during study period 2009-2011.
Outputs (In million BDT)
Investment Income
267.34
106.64
316.40
16.99
1131.33
rce: Annual Reports of respective Takaful Companies
ogy, which is generally represented by some form of frontier function.
2011 under constant returns to scale
sic component of the Malmquist productivity
the related year, while the values that are less than unity imply that the firm is below the frontier or technically
closer to one. For the years reported in tables 2 and 3, all the Takaful companies are consistently efficient, both under
ICIC and PDILIL. Meanwhile, ICIC is
is the least efficient firm for both CRS
2010 2011
1.000 1.000
0.542 0.325
1.000 1.000
0.756 0.991
1.000 1.000
1.000 1.000
0.883 0.886
produced 51.9 percent of its potential output level
percent of its potential output under CRS. Under VRS in the same year, the PDILIL
ICIC produced at their maximum potential output,
of its potential output level and also decrease in 2011

Vol.5 No.11 2013
and PDILIL produced 75.6 percent of its potential output under CRS. Under VRS in the same year, the
produced the potential output as same as 76.5 percent whereas,
same as 2009. As indicated by the weighted geometric mean in Tables 2 and 3, the average efficiency for the whole
industry increases for the period 2009 to 2011 under CRS. Meanwhile, under VRS, the average efficiency for the
whole industry is same between 2009 and 2010 but shows a slight increase in later years reached at maximum
potential output, which was at 100% percent. On average, efficiency performance of the Takaful industry is
relatively higher based on VRS than CRS.
Table 3: Efficiency of the Takaful Companies, 2009
Mean
4.3. Productivity Performance of the Individual Company
As we know, Malmquist TFP index to measure productivity change and to decompose these productivity change into
technical change and technical efficiency change. Tables 4 to 5 report the performance of the firms from 2009
2011 in terms of TFP change and its two subcomponents which are technical change and efficiency change
respectively. Note that a value of the Malmquist TFP productivity index and its components of greater than one
imply improvements of productivity in t
deterioration in productivity. Subtracting 1 from the number reported in the table gives an average increase or
decrease per annum for the relevant time period and relevant performance
performance relative to the best practice in the relevant performance or relative to the best practice in the sample.
Table 4: Takaful Companies Relative Malmquist TFP Change between Time Period t and t + 1, 2009
Mean
Table 4 portrays calculated changes in the Malmquist
IIBL has positive productivity changes during the adjacent years of 2009
and PILIL have positive productivity changes for the adjacent years of 2009
productivity in 2009-2011. In contrast,
next year recorded marked improvement in TFP at 2010
productivity changes during the adjacent years of 2009
rank with 19.7 percent average TFP annual growth rate, followed by
then PDILIL ranked third with an annual rate of 07.5 perc
significant growths in the periods of 2009
04.4 percents.
The Malmquist TFP index is further decomposed into its two components,
The results of technical change and efficiency change are displayed in Tables 5 and 6. Table 5 portrays the index
values of technical progress or retreat as measured by average shifts in the best
According to the results, all the firms experienced both technical progress and retreat. Howover,
the firms that experienced technical progress for the periods of 2009 to 2011. In contrast,
Insurance Company, PDILIL and PILIL
to 2011. During the study period TIIL
168
produced 75.6 percent of its potential output under CRS. Under VRS in the same year, the
produced the potential output as same as 76.5 percent whereas, ICIC produced at their maximum
ry is same between 2009 and 2010 but shows a slight increase in later years reached at maximum
relatively higher based on VRS than CRS.
ciency of the Takaful Companies, 2009-2011 (Variable Returns to Scale)
Name of the Takaful Company 2009
Fareast Islami Life Insurance Company 1.000
Islami Commercial Insurance Company 1.000
ce Bangladesh Limited 1.000
Padma Islami Life insurance Limited 0.764
Prime Islami Life Insurance Limited 1.000
Takaful Islami Insurance Limited 1.000
0.961
ormance of the Individual Company
technical change and technical efficiency change. Tables 4 to 5 report the performance of the firms from 2009
imply improvements of productivity in the relevant aspects, while values less than one indicate a decrease or
decrease per annum for the relevant time period and relevant performance measure. These measures also capture the
Takaful Companies Relative Malmquist TFP Change between Time Period t and t + 1, 2009
Name of the Takaful Company 2009-2010
Islami Insurance Bangladesh Limited 1.113
fe insurance Limited 0.982
1.036
Table 4 portrays calculated changes in the Malmquist-based Total Factor Productivity index. As shown in the results,
has positive productivity changes during the adjacent years of 2009-2010, 2010-2011. On the other hand,
have positive productivity changes for the adjacent years of 2009-2010, but they faced deterior
2011. In contrast, PDILIL recorded deterioration in TFP for the year 2009
next year recorded marked improvement in TFP at 2010-2011. Moreover, FILIC and
the adjacent years of 2009-2010 and 2010-2011. In addition,
rank with 19.7 percent average TFP annual growth rate, followed by TIIL with an annual rate of 08.6 percent, and
ranked third with an annual rate of 07.5 percent. The TFP change, on average, only showed very few
significant growths in the periods of 2009-2010, with 03.6 percent. However, it deteriorated in 2010
The Malmquist TFP index is further decomposed into its two components, technical change and efficiency change.
values of technical progress or retreat as measured by average shifts in the best-practice frontier fr
According to the results, all the firms experienced both technical progress and retreat. Howover,
the firms that experienced technical progress for the periods of 2009 to 2011. In contrast,
PDILIL and PILIL are the firms that have experienced technical retreat for the periods of 2009
TIIL has positive productivity changes for the years of 2009
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2863 (Online)
produced 75.6 percent of its potential output under CRS. Under VRS in the same year, the PDILIL
ICIC produced at their maximum potential output,
ry is same between 2009 and 2010 but shows a slight increase in later years reached at maximum
2010 2011
1.000 1.000
1.000 1.000
1.000 1.000
0.765 1.000
1.000 1.000
1.000 1.000
0.961 1.000
technical change and technical efficiency change. Tables 4 to 5 report the performance of the firms from 2009 to
he relevant aspects, while values less than one indicate a decrease or
measure. These measures also capture the
Takaful Companies Relative Malmquist TFP Change between Time Period t and t + 1, 2009-2011
2010-2011 Mean
0.874 0.871
0.745 0.904
1.281 1.197
1.167 1.075
0.959 0.933
0.816 1.086
0.956 0.996
vity index. As shown in the results,
2011. On the other hand, ICIC
2010, but they faced deterioration in
recorded deterioration in TFP for the year 2009-2010 where in the
and PILIL have faced positive
2011. In addition, IIBL has occupy the first
with an annual rate of 08.6 percent, and
ent. The TFP change, on average, only showed very few
2010, with 03.6 percent. However, it deteriorated in 2010-2011, which is
technical change and efficiency change.
practice frontier from period t to t+1.
According to the results, all the firms experienced both technical progress and retreat. Howover, ICIC and IIBL are
the firms that experienced technical progress for the periods of 2009 to 2011. In contrast, Fareast Islami Life
are the firms that have experienced technical retreat for the periods of 2009
has positive productivity changes for the years of 2009-2010, but they faced a

Vol.5 No.11 2013
reduction in productivity in 2010-2011. On the other hand,
progress (35.5 percent) in the period 2009
highest technical growth between the period 2010
companies have achieved average technical progress. By considering the mean,
followed by ICIC with 13.0% and TIIL with 8.6%. In contrast, FILIC
firm (12.9 percent).
Table 5: Takaful Companies Relative Technical Change, 2009
Mean
Table 6 reveals the changes in relative efficiency for each individual company. The results indicate considerable
variation across companies and time. It is very good to see that all the Takaful companies have been found to be
consistently efficient, except ICIC
indicate that, on average, the only Islamic insurance firm under study, i.e.
change with 16.3 percent, while only
that an improvement have been seen in relative efficiency throughout these years with a slight deterioration during
the period 2009-2011 at -1.5 percent.
Table 6: Changes in Firms Relative Efficiency, 2009
Mean
In order to examine a change in scale efficiency
subcomponents, namely pure efficiency change and scale efficiency change in which the results are reported in Table
7. The results indicate that the pure efficiency and scale efficiency appear to be an
growth to efficiency change. All the Takaful companies recorded no changes in annual growth for both the scale and
pure efficiencies, except ICIC and PDILIL
have attained the highest deterioration and the highest growth of scale efficiency at (
during the study period through 2009
Table 7: Changes in Efficiency Components by Firms between Time Period t and t + 1, 2009
SL. No.
Name of the Takaful Company
Mean
Note: PECH = Pure Efficiency Change, and SECH = Scale Efficiency Change.
169
2011. On the other hand, TIIL has been achieved the maximum change in technical
progress (35.5 percent) in the period 2009-2010 and maximum retreat in 2010-2011 , while
highest technical growth between the period 2010-2011 with 28.1 percent. During the study period, 03 Takaful
companies have achieved average technical progress. By considering the mean, IIBL occupies first rank with 19.7%,
followed by ICIC with 13.0% and TIIL with 8.6%. In contrast, FILIC was found as the most technical
Takaful Companies Relative Technical Change, 2009-2011
Name of the Takaful Company 2009-2010
Islami Insurance Bangladesh Limited 1.113
Padma Islami Life insurance Limited 0.969
1.026
through the year 2009 to 2011. During the entire period of study, the results
indicate that, on average, the only Islamic insurance firm under study, i.e. PDILIL experienced the highest efficiency
change with 16.3 percent, while only ICIC that experienced efficiency decline by (-17.8 %). finally, the result shows
1.5 percent.
rms Relative Efficiency, 2009-2011
Name of the Takaful Company 2009-2010 2010
1.009 0.961
In order to examine a change in scale efficiency, the efficiency change is further decomposed into two
7. The results indicate that the pure efficiency and scale efficiency appear to be an equally important source of
PDILIL during the period 2009 to 2011. Relative to other insurance firms,
attained the highest deterioration and the highest growth of scale efficiency at (-40.0) percent and 4.4 percent
during the study period through 2009-2011.
Changes in Efficiency Components by Firms between Time Period t and t + 1, 2009
Name of the Takaful Company
2009-2010
PECH SECH
0.999 1.010
iciency Change, and SECH = Scale Efficiency Change.
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has been achieved the maximum change in technical
2011 , while IIBL achieved the
cent. During the study period, 03 Takaful
IIBL occupies first rank with 19.7%,
was found as the most technical regressive
2010 2010-2011 Mean
0.874 0.871
1.242 1.130
1.281 1.197
0.890 0.930
0.959 0.933
0.816 1.086
0.995 1.011
through the year 2009 to 2011. During the entire period of study, the results
experienced the highest efficiency
17.8 %). finally, the result shows
2010-2011 Mean
1.000 1.000
0.600 0.822
1.000 1.000
1.312 1.163
1.000 1.000
1.000 1.000
0.961 0.985
, the efficiency change is further decomposed into two
equally important source of
during the period 2009 to 2011. Relative to other insurance firms, ICIC
40.0) percent and 4.4 percent
Changes in Efficiency Components by Firms between Time Period t and t + 1, 2009-2011
2010-2011
PECH SECH
1.000 1.000
1.000 0.600
1.000 1.000
1.316 0.997
1.000 1.000
1.000 1.000
1.047 0.918

Vol.5 No.11 2013
In terms of pure efficiency, PDILIL have achieved
2009-2010. It is interesting to note that although
experienced the highest growth in pure efficiency with 31.60 percent in the next period. During the entire period of
study, we have identified as the years of pure efficiency improvement, while deterioration are recorded to be
years of scale efficiency.
4.4. Productivity Performance of the Industry
Table 8 summarizes the performance of the Malmquist productivity index of the whole takaful industry in
Bangladesh during the year 2009 and 2011. On average,
changes with 19.4%, no efficiency change. In contrast
technical change with (-12.1) percent and interesting see that no change in efficiency.
by having TFP of 7.0 percent, which is mainly contributed by efficiency progress (15.30 percent), but technical
change are deteriorated with -7.1%. On average, the TFP of the Takaful industry is just below the pure efficient level,
mainly due to both efficiency and technical changes with
efficiency change is largely contributed by pure efficiency rather than scale efficiency. This indicates that the size of
the companies is not a factor in affe
growths in technical components and efficiency change which suggest that TFP in the Takaful industry is due to the
innovation in technical components coupled with a considerabl
the insurance firms were found to be experiencing a technical progress. Even though there was no improvement in
efficiency change, the subcomponent of this efficiency change, namely pure efficiency, shows
(2.3 percent) and a negative change in scale change. Takaful industry of Bangladesh has faced more negative impact
of efficiency than a positive technical changes, the overall TFP for these firms within the period of study is
maintained at a value slightly lower than 1 (reflected by the mean
Table 8: Summary of the Malmquist Productivity Index of Takaful Companies, 2009
Mean
Note: TFPCH = Total Productivity Change;
Pure Efficiency Change; and SECH
90%
92%
94%
96%
98%
100%
102%
104%
2009-2010 2010-2011
Figure 1: Changes in Mean TFP and Its Components
170
PDILIL have achieved the highest deterioration by very significant
2010. It is interesting to note that although PDILIL attained the highest deterioratio
study, we have identified as the years of pure efficiency improvement, while deterioration are recorded to be
4.4. Productivity Performance of the Industry
Bangladesh during the year 2009 and 2011. On average, IIBL recorded the highest growth in TFP and technical
changes with 19.4%, no efficiency change. In contrast FILIC has shown result the lowest growth in TFP and same as
12.1) percent and interesting see that no change in efficiency. PDILIL
7.1%. On average, the TFP of the Takaful industry is just below the pure efficient level,
oth efficiency and technical changes with -1.5 and 0.01 percents, respectively. Furthermore, the
the companies is not a factor in affecting efficiency changes. This study found that there were very few substantial
innovation in technical components coupled with a considerable improvement in the efficiency aspect. On average,
efficiency change, the subcomponent of this efficiency change, namely pure efficiency, shows
d at a value slightly lower than 1 (reflected by the mean 0.995 of TFP change).
Summary of the Malmquist Productivity Index of Takaful Companies, 2009-2011
Name of the Takaful Company EFFCH TECHCH PECH
Insurance Company 1.000 0.871 1.000
Islami Commercial Insurance Company 0.791 1.124 1.000
Islami Insurance Bangladesh Limited 1.000 1.194 1.000
Padma Islami Life insurance Limited 1.153 0.929 1.144
Prime Islami Life Insurance Limited 1.000 0.932 1.000
Takaful Islami Insurance Limited 1.000 1.051 1.000
0.985 1.01 1.023
= Total Productivity Change; EFFCH = Efficiency Change; TECHCH = Techni
= Scale Efficiency Change.
TEP
TECH
EFFCH
85%
90%
95%
100%
105%
2009-2010 2010-2011
Changes in Mean TFP and Its Components Figure 2: Changes in Mean Efficiency and Its
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2863 (Online)
the highest deterioration by very significant -0.50 percent in
attained the highest deterioration in pure efficiency; it also
study, we have identified as the years of pure efficiency improvement, while deterioration are recorded to be the
ighest growth in TFP and technical
the lowest growth in TFP and same as
PDILIL took the second rank
7.1%. On average, the TFP of the Takaful industry is just below the pure efficient level,
1.5 and 0.01 percents, respectively. Furthermore, the
cting efficiency changes. This study found that there were very few substantial
e improvement in the efficiency aspect. On average,
efficiency change, the subcomponent of this efficiency change, namely pure efficiency, shows a minor improvement
2011
PECH SECH TFPCH
1.000 1.000 0.871
1.000 0.791 0.890
1.000 1.000 1.194
1.144 1.007 1.070
1.000 1.000 0.932
1.000 1.000 1.051
1.023 0.963 0.995
= Technical Change; PECH =
2011
pech
sech
EFFCH
Changes in Mean Efficiency and Its components

Vol.5 No.11 2013
Figure 1 reveals the mean evolution over time of TFP and its components for the Takaful industries measured by the
geometric mean of the Malmquist productivity index for eac
occupied the maximum growth in technical efficiency during the 2009
periods of 2010-2011 which was largely contributed by the improvement of technical change ra
change. Finally, Figure 2 presents the visual summary of changes in the mean efficiency and its components which
are scale and pure efficiencies for the entire study periods. For the study period of 2009
change decline within the study period which has made a significant impact on the overall of TFP change. On the
other hand, in case of pure and scale efficiency, pure efficiency is experienced by a significant amount of
deterioration but the situation reverses
efficiency has declined by a change in scale efficiency rather than a change in pure efficiency.
5. Conclusions
The researchers used DEA to explore the contributions of tec
productivity in the Takaful Industries in Bangladesh by applying the generalized output
for the years 2009-2011. The efficiency measures of Takaful operators are comparatively measured
on the point of efficiency, the TFP of the Islamic insurance industry in Bangladesh is near about efficient due to
improvement in technical changes rather deterioration in efficiency change with 0.01and (
respectively. Furthermore, the efficiency change is contributed by the pure efficiency rather than scale efficiency.
This indicates that the size of the companies have a very limitd influence in affecting efficiency changes. However,
this study also found that there were di
efficiency change which suggest that TFP in the Islamic insurance industry is due to the less innovation in technical
components coupled with a insignificant improvement on the aspe
are found to be experiencing a technical progress. In contrast there was a slight decline in efficiency change, the
subcomponent of this efficiency change, namely pure efficiency, did show a slight improvem
However, deterioration in the scale efficiency (
giving a small decrease efficiency change. Hence, this finding indicates in the Takaful industry of Bangladesh tha
the smaller the size of the companies, the higher the probability for the companies to be more efficient in utilizing
their inputs to generate more outputs. Due to the negative impact of the efficiency, the overall TFP for these firms
within the period of study is maintained at a value just lower than 1 (reflected by the mean
Overall, IIBL has recorded the highest growth in TFP with 19.4 percent and efficiency change (just 1) and technical
changes with 19.4 percent. FILIC, on the oth
is mainly due to technical regress (-
operators in assisting them to take strategies in terms of the op
efficiency of both industries in utilizing their inputs to generate more outputs, thus, improving their competitive edge
and strengthening their positions in the industry further. This result indicates that T
potential to further increase their TFP through improvements in both efficiency and technical component such as
enhancing the use of information and communication technology in order to provide good services to customers.
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Abidin Z. & Cabanda E.,(2011), EFFICIENCY OF NON
Economics, Business and Accountancy Ventura,14(3), 197
AFZA T. & Jam-e-Kausar, (2010),
parametric Approach, INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN
BUSINESS, 2 (8), 84-98.
Afza T. & Jam-e-Kausar, (2010), Firm size and efficiency in the non
Technology Management Forthco
Ali, M. M. K.,(2000), Provision of micro
Barros, C.P.; Barroso, N. and Borges, M.R., (2005). Evaluating the Efficiency and Productivity of Insurance
Companies with a Malmquist Ind
171
geometric mean of the Malmquist productivity index for each period. The figure displays that on average, TFP
occupied the maximum growth in technical efficiency during the 2009-2010 and decrease of TFP in the subsequently
2011 which was largely contributed by the improvement of technical change ra
are scale and pure efficiencies for the entire study periods. For the study period of 2009
e decline within the study period which has made a significant impact on the overall of TFP change. On the
deterioration but the situation reverses in case of scale efficiency. According to the figure, it seems that the change in
The researchers used DEA to explore the contributions of technical and efficiency change to the growth of
productivity in the Takaful Industries in Bangladesh by applying the generalized output
2011. The efficiency measures of Takaful operators are comparatively measured
improvement in technical changes rather deterioration in efficiency change with 0.01and (
hermore, the efficiency change is contributed by the pure efficiency rather than scale efficiency.
this study also found that there were diminutive significant growths in technical components and no improvement in
components coupled with a insignificant improvement on the aspect of efficiency. On average, the insurance firms
subcomponent of this efficiency change, namely pure efficiency, did show a slight improvem
However, deterioration in the scale efficiency (-3.7 percent) can’t offsets the scale efficiency deterioration effect thus
giving a small decrease efficiency change. Hence, this finding indicates in the Takaful industry of Bangladesh tha
f study is maintained at a value just lower than 1 (reflected by the mean
recorded the highest growth in TFP with 19.4 percent and efficiency change (just 1) and technical
, on the other hand, recorded the lowest growth in TFP with (
-12.9 percent). The findings of this study give significant benefits to the Takaful
operators in assisting them to take strategies in terms of the operations and management in order to improve the
and strengthening their positions in the industry further. This result indicates that Takaful industries have a great
Abidin Z. & Cabanda E.,(2011), EFFICIENCY OF NON-LIFE INSURANCE IN INDONESIA,
Economics, Business and Accountancy Ventura,14(3), 197 – 202.
Kausar, (2010), Efficiency of the Insurance Industry in Pakistan: An Applicatio
Kausar, (2010), Firm size and efficiency in the non-life insurers of Pakistan, Journal of Quality and
Technology Management Forthcomming .
Ali, M. M. K.,(2000), Provision of micro-insurance for microfinance clients. Microfinance Newsletter
Companies with a Malmquist Index: A Case Study for Portugal. Geneva Papers on Insurance
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2863 (Online)
h period. The figure displays that on average, TFP
2010 and decrease of TFP in the subsequently
2011 which was largely contributed by the improvement of technical change rather than efficiency
are scale and pure efficiencies for the entire study periods. For the study period of 2009-2011, the mean efficiency
e decline within the study period which has made a significant impact on the overall of TFP change. On the
in case of scale efficiency. According to the figure, it seems that the change in
hnical and efficiency change to the growth of
productivity in the Takaful Industries in Bangladesh by applying the generalized output-oriented Malmquist index
2011. The efficiency measures of Takaful operators are comparatively measured where it is found
improvement in technical changes rather deterioration in efficiency change with 0.01and (-01.5) percents
hermore, the efficiency change is contributed by the pure efficiency rather than scale efficiency.
minutive significant growths in technical components and no improvement in
ct of efficiency. On average, the insurance firms
subcomponent of this efficiency change, namely pure efficiency, did show a slight improvement (2.3 percent).
3.7 percent) can’t offsets the scale efficiency deterioration effect thus
giving a small decrease efficiency change. Hence, this finding indicates in the Takaful industry of Bangladesh that
f study is maintained at a value just lower than 1 (reflected by the mean 0.995 of TFP change).
recorded the highest growth in TFP with 19.4 percent and efficiency change (just 1) and technical
er hand, recorded the lowest growth in TFP with (-12.9) percent, which
12.9 percent). The findings of this study give significant benefits to the Takaful
erations and management in order to improve the
akaful industries have a great
LIFE INSURANCE IN INDONESIA, Journal of
Efficiency of the Insurance Industry in Pakistan: An Application of Non-
life insurers of Pakistan, Journal of Quality and
Microfinance Newsletter, 7, 2-5.
Geneva Papers on Insurance, 30, 244-267.

Measures of efficiency in the takaful industry of bangladesh a non-parametric approach

Measures of efficiency in the takaful industry of bangladesh a non-parametric approach

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Measures of efficiency in the takaful industry of bangladesh a non-parametric approach